Hierarchical virtual inertia control of DC distribution system for plug-and-play electric vehicle integration

被引:21
作者
Peng, Ke [1 ,2 ]
Wei, Zhiyu [2 ]
Chen, Jiajia [2 ]
Li, Hairong [2 ]
机构
[1] Tianjin Univ, Key Lab Smart Grid, Minist Educ, Weijin Rd 92, Tianjin, Peoples R China
[2] Shandong Univ Technol, Sch Elect & Elect Engn, Xincun West Rd 266, Zibo, Peoples R China
基金
中国国家自然科学基金;
关键词
DC power distribution; Electric vehicle; Hierarchical virtual inertia; Plug-and-play;
D O I
10.1016/j.ijepes.2021.106769
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
DC distribution system will play a significant role in future urban distribution system, while the integration of electric vehicle has a tremendous influence on the stability of DC distribution system. This paper presents an assessment and mitigation strategy of such negative impact on DC distribution system. Mathematical modelling and analysis of the load/source admittances are provided to evaluate the overall system stability based on the Nyquist admittance ratio criterion. The theoretical analysis shows that the integration of electric vehicle introduces incremental negative admittances which significantly degrades the system stability. Therefore, a hierarchical virtual inertia control strategy, consisted of a local-level control and a system-level control, is proposed to improve the system damping and suppress the negative influence. The local-level virtual inertia control can suppress the instability caused by electric vehicle integration, while the disturbance caused by the fluctuations of other DC loads or sources can be suppressed by the system-level virtual inertia control. Numerical examples verify the effectiveness of the method, which can improve the stability of DC distribution system and satisfy the requirement of electric vehicle plug-and-play.
引用
收藏
页数:10
相关论文
共 38 条
[31]   Design and implementation of hybrid energy sources with fuzzy neuro control for DC micro grid system used for electric vehicle [J].
Bhavani, Nallamilli P. G. ;
Vani, R. .
INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS, 2022, 29 (02) :107-+
[32]   Application of Enhanced Self-Adaptive Virtual Inertia Control for Efficient Frequency Control of Renewable Energy-Based Microgrid System Integrated With Electric Vehicles [J].
Mishra, Sonalika ;
Sahu, Preeti Ranjan ;
Prusty, Ramesh Chandra ;
Panda, Sidhartha ;
Ustun, Taha Selim ;
Onen, Ahmet .
IEEE ACCESS, 2025, 13 :43520-43531
[33]   Research on Driving Force Optimal Distribution and Fuzzy Decision Control System for a Dual-motor Electric Vehicle [J].
Wang Da ;
Wang Bo .
2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, :8146-8153
[34]   Cluster-based Control Strategies of Electric Vehicles for Integrated Energy System With AC-DC Hybrid Distribution Network [J].
Dou X. ;
Wang J. ;
Yang Z. ;
Du W. ;
Wu Y. .
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2021, 41 (14) :4829-4844
[35]   Power Flow Control Strategy Based on the Voltage Vector Distribution for a Dual Power Electric Vehicle With an Open-End Winding Motor Drive System [J].
Jia, Yi-Fan ;
Xu, Nan ;
Chu, Liang ;
Zhang, Li-Feng ;
Zhao, Di ;
Li, Yu-Kuan ;
Yang, Zhi-Hua .
IEEE ACCESS, 2018, 6 :54910-54926
[36]   Range extension control system for electric vehicle during acceleration and deceleration based on front and rear driving/braking force distribution considering slip ratio and motor loss [J].
Harada, Shingo ;
Fujimoto, Hiroshi .
IEEJ Transactions on Industry Applications, 2014, 134 (03) :268-275
[37]   Electric vehicle range extension control system based on front- and rear-wheel sideslip angle and left- and right-motor torque distribution [J].
Sumiya, Hayato ;
Fujimoto, Hiroshi .
IEEJ Transactions on Industry Applications, 2012, 132 (03) :308-314
[38]   Electric Vehicle Range Extension Control System Based on Front- and Rear-Wheel Sideslip Angle and Left- and Right-Motor Torque Distribution [J].
Sumiya, Hayato ;
Fujimoto, Hiroshi .
ELECTRICAL ENGINEERING IN JAPAN, 2014, 187 (03) :60-68